Reddit Content Scraper: Automated Post Data Collection

Automatically extracts Reddit post data, including titles, content, engagement metrics, and comment counts from any subreddit or thread, with flexible filtering and output options for seamless integration.

Use Cases:

• Monitor brand mentions and trending discussions across Reddit communities
• Track post performance and engagement metrics (upvotes, comments, awards)
• Conduct market research by analyzing popular posts in relevant subreddits
• Identify trending topics and viral content for content marketing strategies
• Collect competitive intelligence by monitoring industry-related subreddits
• Build datasets for sentiment analysis and social listening at scale
• Research community opinions and emerging trends for business intelligence
  

Workflow Steps:

1. Start & Configure Parameters - Set up three input parameters: target_url (Reddit page URL like "https://www.reddit.com/r/n8n/"), sort_by (sorting option: hot, new, top, rising), and post_limit (number of posts to extract, e.g., "10")
   
2. Website Auto-Login - Optionally prompts for Reddit credentials if accessing private or age-restricted subreddits, with secure credential storage for future runs
3. Visit Target Page - Navigates to the specified Reddit URL with the target_url parameter
4. Apply Sort Filter - Clicks on the sorting option (hot, new, top, rising) to organize posts according to your research needs
5. Apply Post Limit - Configures the number of posts to extract based on your specified limit
6. Scroll & Load Content - Automatically scrolls to load all posts up to the specified limit, handling Reddit's infinite scroll functionality
7. Extract Post-Level Data - Collects comprehensive post information from the main Reddit feed/listing page including:
8. • Post title and full content/body text
   • Author username and role (OP, Moderator, etc.)
   • Subreddit name
   • Post flair/tag (e.g., Tutorial, Help, Discussion)
   • Upvotes count and upvote ratio
   • Comments count (total number of comments)
   • Awards count and types
   • Post URL (permalink)
   • Post timestamp (e.g., "8 hr. ago")
   • Post type (text, image, video, link, poll)
   • Important notices (pinned/stickied status, mod notes)
8. Finish & Output Data - Returns extracted data in your preferred format (JSON, CSV, XML, or Markdown) containing structured post information with engagement metrics
   

Output: Choose from multiple format options to suit your needs:

• JSON - Perfect for API integrations, data analysis tools, and web applications with structured data
• CSV - Ideal for Excel, Google Sheets analysis, or database imports for trend tracking
• XML - Great for enterprise systems and legacy application integration
• Markdown (MD) - Easy-to-read format for documentation, reports, or human-readable archives
  

Key Features:

• Customizable Parameters: Adjust target_url, sort_by, and post_limit to match your specific research needs
• Flexible Sorting Options: Choose from hot, new, top, or rising to capture different content perspectives
  
• Engagement Metrics: Track upvotes, comment counts, and awards to identify high-performing content
• Content Preservation: Extracts full post text, links, and formatting for complete data capture
• Make.com Integration: Browseract is now available as a native app on Make.com - simply add it to your scenarios without complex API setup
• Automation-Ready: Easily integrate with Make, n8n, or other automation platforms for scheduled data collection
• Rate Limit Handling: Built-in delays and error handling to respect Reddit's usage policies
• Multi-Subreddit Support: Run multiple instances to track different communities simultaneously

Data Extraction Scope:

• ✅ Extracts: Post titles, content, authors, upvotes, comment counts, awards, timestamps, URLs, flairs, and post types
• ❌ Does not extract: Individual comment text or nested comment threads (only total comment count per post)
• 💡 Use Case: Perfect for post-level analysis, trend identification, and engagement tracking without deep-diving into comment threads

Ready to automate? Try this workflow now →

🚀 Quick Start with Make.com: Browseract is now available as an official app on Make.com! Simply search for "Browseract" in the Make.com app directory and add it directly to your automation scenarios - no complex configuration needed.

Need help? Contact us at

• Discord: [Discord Community]
• E-mail: service@browseract.com